Abstract
In this paper dynamic stability analysis of power system is investigated considering proportional-integral power system stabilizer (P-I PSS) for two-area power system. Gains of P-I PSS are optimized by minimizing an objective function using genetic algorithm (GA). Participation factor method is used to find out the suitable location of PSS. Analysis reveals that the P-I PSS provides sufficient damping for inter-area oscillations and gives better dynamic performances when compared without PSS. Analysis also reveals that the proposed P-I PSS works satisfactorily following a transitory three-phase fault.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
DeMello, F.P., Concordia, C.: Concepts of synchronous machine stability as affected by excitation control. IEEE Transactions on power Apparatus and Systems, PAS-88, 316–329 (1969)
Kundur, P., Klein, M., Rogers, G.J., Zywno, M.S.: Application of power system stabilizers for enhancement of overall system stability. IEEE Transactions on PowerApparatus and Systems 4(2), 614–626 (1989)
Fleming, R.J., Mohan, M.A., Parvatisam, K.: Selection of parameters of stabiliz-ers in multimachine power systems. IEEE Transactions on Power Apparatus and Systems PAS-100(5), 2329–2333 (1981)
Lefebre, S.: Tuning of stabilizers in multimachine power systems. IEEE Transactions on Power Systems PAS-102(2), 290–299 (1983)
Lim, C.M., Elangovan, S.: A new stabilizer design technique for multima-chine power systems. IEEE Transactions on Power Apparatus and Systems PAS-104(9), 2393–2400 (1985)
Zhang, P., Coonick, A.H.: Coordinated synthesis of PSS parameters in multimachine power systems using the method of inequalities applied to genetic algorithms. IEEE Transactions on Power Systems 15(2), 811–816 (2000)
Abdel-Magid, Y.L., Abido, M.A., Mantawy, A.H.: Robust tuning of power system stabilizers in multimachine power systems. IEEE Transactions on Power Systems 15(2), 735–740 (2000)
Lei, X., Huang, H., Zheng, S.L., Jiang, D.Z., Sun, Z.W.: Global tuning of power system stabilizers in multimachine systems. Electric Power Systems Research 58, 103–110 (2001)
Murty, A.S.R., Parameswaran, S., Ramar, K.: Design of decentralized vari-able structure stabilizers for multimachine power system. Electric Power and Energy Systems 18(8), 535–546 (1996)
Barrieiros, J.A.L., eSilva, A., Simoes Costa, A.J.A.: A self -tuning generalized predictive power system stabilizer. Electric Power and Energy Systems 20(3), 213–219 (1998)
Cheng, S., Zhou, R., Guan, L.: An online self-learning power system stabilizer using a neural network method. IEEE Transactions on power systems 4(2), 926–931 (1997)
Lu, J., Nehrir, M.H., Pierre, D.A.: A fuzzy logic based self tuning power system stabilizer optimized with a genetic algorithm. Electric Power Systems Research 60, 77–83 (2001)
Lakshmi, P., Abdulla Khan, M.: Stability enhancement of a multimachine power system using fuzzy logic based power system stabilizer tuned through genetic algorithm. Electric Power and Energy System 22, 137–145 (2000)
Verghese, G.C., Perez-Arriaga, I.J., Scheweppe, F.C.: Selective Modal Analysis with Applications to Electric Power Systems, Part I and II. IEEE Transactions on Power Apparatus and Systems PAS-101(9), 3117–3134 (1982)
Schultz, W.C., Rideout, V.C.: Control system performance measures: past, present and future. IRE Transactions on Automatic Control AC-6(22), 22–35 (1961)
Ogata, K.: Modern Control Engineering, A book, pp. 293–313. Prentice-Hall, Englewood cliffs (1970)
Holland, J.H.: Adaptation in Nature and Artificial Systems. University of Michigan Press, AmArrbor (1975)
Lin, C.Y., Hajela, P.: Genetic algorithms in optimization problems with discrete and integer design variables. Engineering Optimization 19(4), 309–327 (1992)
Anderson, P.M., Fouad, A.A.: Power System Control and Stability, A book. The Iowa State University Press, USA (1977)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2012 Springer-Verlag GmbH Berlin Heidelberg
About this chapter
Cite this chapter
Bera, P., Basu, T.K., Das, D. (2012). Design of P-I Power System Stabilizers for Damping Inter-area Oscillation. In: Sambath, S., Zhu, E. (eds) Frontiers in Computer Education. Advances in Intelligent and Soft Computing, vol 133. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-27552-4_75
Download citation
DOI: https://doi.org/10.1007/978-3-642-27552-4_75
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-27551-7
Online ISBN: 978-3-642-27552-4
eBook Packages: EngineeringEngineering (R0)